Triple
T3973980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zubin Mehta |
E85595
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Nancy Kovack
Nancy Kovack is an American actress best known for her film and television roles in the 1960s, including appearances in "Jason and the Argonauts" and various popular TV series.
|
E614110
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nancy Kovack | Statement: [Zubin Mehta, spouse, Nancy Kovack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Kovack Context triple: [Zubin Mehta, spouse, Nancy Kovack]
-
A.
Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
-
B.
Nancy Goodman
Nancy Goodman is an American diplomat, businesswoman, and philanthropist best known for founding the Susan G. Komen Breast Cancer Foundation.
-
C.
Nancy Gross
Nancy Gross was the wife of renowned American film director Howard Hawks.
-
D.
Nancy Wheeler
Nancy Wheeler is a determined and resourceful teenager in the series "Stranger Things," known for her investigative instincts and courage in confronting supernatural threats.
-
E.
Nancy Cummings
Nancy Cummings was the daughter of American poet E. E. Cummings, known primarily through biographical accounts of his personal life.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nancy Kovack Triple: [Zubin Mehta, spouse, Nancy Kovack]
Generated description
Nancy Kovack is an American actress best known for her film and television roles in the 1960s, including appearances in "Jason and the Argonauts" and various popular TV series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nancy Kovack Target entity description: Nancy Kovack is an American actress best known for her film and television roles in the 1960s, including appearances in "Jason and the Argonauts" and various popular TV series.
-
A.
Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
-
B.
Nancy Goodman
Nancy Goodman is an American diplomat, businesswoman, and philanthropist best known for founding the Susan G. Komen Breast Cancer Foundation.
-
C.
Nancy Gross
Nancy Gross was the wife of renowned American film director Howard Hawks.
-
D.
Nancy Wheeler
Nancy Wheeler is a determined and resourceful teenager in the series "Stranger Things," known for her investigative instincts and courage in confronting supernatural threats.
-
E.
Nancy Cummings
Nancy Cummings was the daughter of American poet E. E. Cummings, known primarily through biographical accounts of his personal life.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef99837cc8190b8b2464707f5e334 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70057abc48190a5855ce1c6029d81 |
completed | March 27, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69c705b31bc8819087208b667104e363 |
completed | March 27, 2026, 10:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7065baaa08190b4046e0d372bf6f8 |
completed | March 27, 2026, 10:36 p.m. |
Created at: March 9, 2026, 3:32 p.m.